Attentional Cholinergic Projections May Induce Transitions of Attractor Landscape via Presynaptic Modulations of Connectivity

  • Hiroshi Fujii
  • Takashi Kanamaru
  • Kazuyuki Aihara
  • Ichiro Tsuda
Conference paper

Abstract

There is evidence of presynaptic modulation of inhibitions on pyramidal neurons in cortical layers 2/3, mediated by muscarinic M2-receptors activated by transient releases of the corticopetal acetylcholine associated with top-down attention. Little is known, however, regarding its system-level consequences and possible implications for cognitive functions. It is possible that, through a temporal modulation of connectivity between neurons, memory traces or the attractor landscape in the cortex might be significantly affected. We present a hypothetical argument on attractor ruins and temporal reconstructions of attractors by top-down attention. In this paper, we discuss the mathematical validity of this scenario with a computer study using a phase neuron model.

Keywords

Transitions of attractor landscape Presynaptic modulations of connectivity Muscarinic M2-receptors Corticopetal acetylcholine Top-down attention Temporal modulation of connectivity between neurons Temporal reconstruction of attractors Phase neuron model 

Notes

Acknowledgments

The authors (H.F. and I.T.) were supported by a Grant-in-Aid for Scientific Research on Innovative Areas “The study on the neural dynamics for understanding communication in terms of complex hetero systems (No.4103)” (21120002) from The Ministry of Education, Culture, Sports, Science, and Technology, Japan. The second author (T.K.) was supported by a Grant-in-Aid for Encouragement of Young Scientists (B) (No. 20700215) from The Ministry of Education, Culture, Sports, Science and Technology of Japan. This research was also partially supported by the Aihara Project, the Funding Program for World-Leading Innovative Research and Development on Science and Technology (FIRST) from the Japan Society for the Promotion of Science (JSPS), initiated by the Council for Science and Technology Policy (CSTP).

References

  1. 1.
    Kosslyn, S. M.: Mental images and the brain. Cogn. Neuropsychology 22 (2005), 333–347.CrossRefGoogle Scholar
  2. 2.
    Collerton, D. et al., Why people see things that are not there: A novel Perception and Attention Deficit model for recurrent complex visual hallucinations. Behavioural and Brain Science 28 (2005) 737–794.Google Scholar
  3. 3.
    Kenet, T. et al.: Nerve cell activity when eyes are shut reveals internal views of the world. Nature 425 (2003) 954–956.PubMedCrossRefGoogle Scholar
  4. 4.
    Tsuda, I.: Chaotic itinerancy as a dynamical basis of Hermeneutics in brain and mind. World Futures 32 (1991) 167–184.CrossRefGoogle Scholar
  5. 5.
    Fujii, H. et al.: Top-down Mechanism of Perception: A Scenario on the Role for Layer 1 and 2/3 Projections Viewed from Dynamical Systems Theory, R. Wang and F. Gu (eds.), Advances in Cognitive Neurodynamics II, Springer-Verlag, (2010), 79–84.Google Scholar
  6. 6.
    Treisman, A. M., & Gelade, G.: A feature- integration theory of attention. Cognit. Psychol. 12 (1980) 97–136.PubMedCrossRefGoogle Scholar
  7. 7.
    Rensink, R.A.: Visual sensing without seeing. Psychological Science 15 (2004):27–32.PubMedCrossRefGoogle Scholar
  8. 8.
    Desimone, R. and Duncan, J.: Neural mechanism of selective visual attention. Annu. Rev. Neurosci. 18 (1995) 193–222.PubMedCrossRefGoogle Scholar
  9. 9.
    Sarter, M. et al.: Phasic acetylcholine release and the volume transmission hypothesis: time to move on. Nature Rev. Neurosci. 10 (2009) 383–390.CrossRefGoogle Scholar
  10. 10.
    Kanamaru, T, Fujii, H. and Aihara, K.: Transformation of Attractor Landscape via Cholinergic Presynaptic Modulations: A Computer Study with Phase Neuron Model. In preparation.Google Scholar
  11. 11.
    Ciaramelli, E. et al., Top-down and bottom-up attention to memory: A hypothesis (AtoM) on the role of the posterior parietal cortex in memory retrieval. Neuropsychologia 46 (2008), 1828–1851.PubMedCrossRefGoogle Scholar
  12. 12.
    Gulledge, A.T. et al.: Heterogeneity of phasic signaling in neocortical neurons. J. Neurophysiol. 97 (2007) 2215–2229.PubMedCrossRefGoogle Scholar
  13. 13.
    Milnor, J.: On the Concept of Attractor, Comm. Math. Phys. 99 (1985), 177–195.CrossRefGoogle Scholar
  14. 14.
    Parikh, V. et al.: Prefrontal Acetylcholine Release Controls Cue Detection on Multiple Timescales. Neuron 56 (2007) 141–154.PubMedCentralPubMedCrossRefGoogle Scholar
  15. 15.
    Salgado, H. et al.: Muscarinic M2 and M1 Receptors Reduce GABA Release by Ca2 Channel Modulation Through Activation of PI3K/Ca2-Independent and PLC/Ca2-Dependent PKC. J. Neurophysiol. 9 (2007) 952–965.CrossRefGoogle Scholar
  16. 16.
    Kruglikov, I. and Rudy, B.: Perisomatic GABA Release and Thalamocortical Integration onto Neocortical Excitatory Cells Are Regulated by Neuromodulators. Neuron 58 (2008) 911–924.PubMedCentralPubMedCrossRefGoogle Scholar
  17. 17.
    Gil, Z. et al., Differential Regulation of Neocortical Neocortical Synapses by Neuromodulators and Activity. Neuron 19 (1997), 679–686.PubMedCrossRefGoogle Scholar
  18. 18.
    Hasselmo M. E. and McGaughy, J.: High acetyl- choline levels set circuit dynamics for attention and encoding and low acetylcholine levels set dynamics for consolidation. Progress in Brain Research 145, 207–231.Google Scholar
  19. 19.
    Kuczewski, N. et al.: Acetylcholine modulates cortical synaptic transmission via different muscarinic receptors, as studied with receptor knockout mice. J. Physiol. 566 (2005), 907–919.PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Hiroshi Fujii
    • 1
  • Takashi Kanamaru
    • 2
  • Kazuyuki Aihara
    • 3
  • Ichiro Tsuda
    • 4
    • 5
  1. 1.Department of Intelligent SystemsKyoto Sangyo UniversityKyotoJapan
  2. 2.Department of Innovative Mechanical Engineering, Faculty of Global EngineeringKogakuin UniversityTokyoJapan
  3. 3.Institute of Industrial ScienceThe University of TokyoTokyoJapan
  4. 4.Research Institute for Electronic ScienceHokkaido UniversityKyotoJapan
  5. 5.Research Center for Integrative Mathematics (RCIM)Hokkaido UniversityKyotoJapan

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